So Lynch suggested something straight from her own research playbook: decision trees and random forests. Decision trees, Lynch explained, are machine learning algorithms that create chains of ...

and selected the Random Forest algorithm to identify threats in encrypted communication traffic. This mature Machine Learning (ML) algorithm produces an identification accuracy higher than 99%.

Random Forests can be applied to machine learning — for example, with autonomous cars, what decision process should the algorithm apply if it is about to crash in order to minimise damage, or risk of ...